Systems Engineer

Key Responsibilities

• Deploy, upgrade, and maintain healthcare applications on Kubernetes using standardized patterns and Helm charts.
• Implement, maintain, and troubleshoot CI/CD pipelines using modern DevOps practices.
• Automate infrastructure provisioning and routine operational tasks using Infrastructure as Code (IaC).
• Monitor platform health, respond to alerts, troubleshoot issues, and contribute to root cause analysis.
• Identify manual processes and automate them to improve operational efficiency.
• Identify and implement cost-saving opportunities such as rightsizing, cleaning up unused resources, and tuning autoscaling.
• Follow security and compliance practices (HIPAA, access controls, secrets management) in all platform work.
• Maintain runbooks and technical documentation.
• Collaborate with development, operations, and support teams to improve application delivery.
• AI Skill – Demonstrates willingness and openness to learn and work with AI tools; actively participates in AI learning opportunities and experiments with new ways of applying AI to day-to-day work.
• AI Adoption – Applies AI tools with growing skill and confidence in practical, work-relevant ways; uses sound judgement about when and how to rely on AI outputs and shares learnings with others.

Required Skills

• 3+ years of experience in Systems Engineering, DevOps, or Platform Engineering.
• Strong hands-on experience with Kubernetes, Docker, and containerized applications.
• Experience with Azure DevOps, GitHub Actions, GitLab CI/CD, or Jenkins.
• Proficiency in Terraform, Ansible, or other IaC tools.
• Scripting experience with PowerShell, Python, or Bash.
• Experience with Azure or another cloud platform.
• Strong troubleshooting, automation, and problem-solving skills.

Preferred Skills

• Experience with AKS, EKS, or OpenShift.
• Helm charts and Kubernetes administration.
• Monitoring tools such as Prometheus, Grafana, Azure Monitor, or ELK.
• Experience in healthcare or other regulated environments.
• Certifications such as CKA/CKAD, Azure Administrator, or Terraform Associate.

What Success Looks Like

• Applications are deployed consistently using standardized Kubernetes patterns.
• Automation has measurably reduced manual work.
• Platform reliability has improved and incidents are resolved faster.
• Cost-saving actions have been delivered and documented.
• Runbooks and documentation are kept current.